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A Novel Clustering Based Candidate Feature Selection Framework Using Correlation Coefficient for Improving Classification Performance
Author(s) -
Sai Prasad Potharaju,
M. Sreedevi
Publication year - 2017
Publication title -
journal of engineering science and technology review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 28
eISSN - 1791-9320
pISSN - 1791-2377
DOI - 10.25103/jestr.106.06
Subject(s) - feature selection , computer science , cluster analysis , artificial intelligence , pattern recognition (psychology) , feature (linguistics) , naive bayes classifier , data mining , benchmark (surveying) , information gain ratio , computation , machine learning , algorithm , support vector machine , philosophy , linguistics , geodesy , geography

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